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R for Data Science & Machine Learning

** 3 Courses Master Bundle **|***FREE PDF & Hardcopy Certificates are Included | Lifetime course access


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Summary

Price
Save 99%
£19 inc VAT (was £2,199)
Offer ends 26 July 2021
Study method
Online, self-paced
Duration
50 hours
Access to content
Lifetime access
Qualification
No formal qualification
Additional info
  • Tutor is available to students
  • Certificate of completion available and is included in the price

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Overview

***Special Discount - Use code ONLINE10 for extra 10% off ***

This R for Data Science & Machine Learning course is designed for professionals who want to thrive in their profession. The R for Data Science & Machine Learning course covers all the essential skills and knowledge needed to become specialized in this sector. You will learn real life knowledge and expertise from the industry experts and practitioners from this R for Data Science & Machine Learning course.

This R for Data Science & Machine Learning 3 courses bundle consists of the following courses:

  • Course 1: R for Data Science & Machine Learning
  • Course 2: Leadership & Management
  • Course 3: Time Management

The R for Data Science & Machine Learning Course starts with the basic knowledge of Data Science & Machine Learning with R and gradually shares expertise knowledge. In this course you will get a complete idea of Data Science & Machine Learning with R with key concepts, strategies regarding use of it and in-depth knowledge. The Data Science & Machine Learning with R course is completely an online course. You can access this course from any part of the world with just a smart device and the internet.

By the end of this course, you will get complete knowledge and marketable skills. The course also comes with a certificate, which will add extra value to your resume and help you stand out in the job market. In short, R for Data Science & Machine Learning course is the perfect course to fast track your career. So, why are you waiting? Enrol this course today!

What you will learn

  • Become a professional Data Scientist, Data Engineer, Data Analyst or Consultant
  • How to write complex R programs for practical industry scenarios
  • Learn data cleaning, processing, wrangling and manipulation
  • Learn Plotting in R (graphs, charts, plots, histograms etc)
  • How to create resume and land your first job as a Data Scientist
  • Step by step practical knowledge of R programming language
  • Learn Machine Learning and it's various practical applications
  • Building web apps and online, interactive dashboards with R Shiny
  • Learn Data and File Management in R
  • Use R to clean, analyze, and visualize data
  • Learn the Tidyverse
  • Learn Operators, Vectors, Lists and their application
  • Data visualization (ggplot2)
  • Data extraction and web scraping
  • Full-stack data science development
  • Building custom data solutions
  • Automating dynamic report generation
  • Data science for business

Why Choose R for Data Science & Machine Learning course?

  • Conducted by industry experts
  • Get Instant E-certificate
  • Fully online, interactive course with Professional voice-over
  • Developed by qualified professionals
  • Self paced learning and laptop, tablet, smartphone friendly
  • Tutor Support

2 more accredited courses to develop your skills

  • Course 1:Leadership & Management
  • Course 2:Time Management

And you will also get these gifts

  • Free PDF Certificate
  • Free Hard Copy Certificate
  • Lifetime Course Access

Course media

Description

Course Curriculum

R for Data Science & Machine Learning

Data Science and Machine Learning Course Intro

  • Data Science and Machine Learning Intro Section Overview
  • What is Data Science?
  • Machine Learning Overview
  • Data Science + Machine Learning Marketplace
  • Who is This Course For?
  • Data Science and Machine Learning Job Opportunities

Getting Started with R

  • Getting Started with R
  • R Basics
  • Working with Files
  • R Studio
  • Tidyverse Overview
  • Additional Resources

Data Types and Structures in R

  • Data Types and Structures in R Section Overview
  • Basic Types
  • Vectors Part One
  • Vectors Part Two
  • Vectors: Missing Values
  • Vectors: Coercion
  • Vectors: Naming
  • Vectors: Misc.
  • Working with Matrices
  • Working with Lists
  • Introduction to Data Frames
  • Creating Data Frames
  • Data Frames: Helper Functions
  • Data Frames: Tibbles

Intermediate R

  • Intermedia R Section Introduction
  • Relational Operators
  • Logical Operators
  • Conditional Statements
  • Working with Loops
  • Working with Functions
  • Working with Packages
  • Working with Factors
  • Dates & Times
  • Functional Programming
  • Data Import/Export
  • Working with Databases

Data Manipulation in R

  • Data Manipulation Section Intro
  • Tidy Data
  • The Pipe Operator
  • {dplyr}: The Filter Verb
  • {dplyr}: The Select Verb
  • {dplyr}: The Mutate Verb
  • {dplyr}: The Arrange Verb
  • {dplyr}: The Summarize Verb
  • Data Pivoting: {tidyr}
  • String Manipulation: {stringr}
  • Web Scraping: {rvest}
  • JSON Parsing: {jsonlite}

Data Visualization in R

  • Data Visualization in R Section Intro
  • Getting Started with Data Visualization in R
  • Aesthetics Mappings
  • Single Variable Plots
  • Two Variable Plots
  • Facets, Layering, and Coordinate Systems
  • Styling and Saving

Creating Reports with R Markdown

  • Introduction to R Markdown

Building Webapps with R Shiny

  • Introduction to R Shiny
  • Creating A Basic R Shiny App
  • Other Examples with R Shiny

Introduction to Machine Learning

  • Introduction to Machine Learning Part One
  • Introduction to Machine Learning Part Two

Data Preprocessing

  • Data Preprocessing Intro
  • Data Preprocessing

Linear Regression: A Simple Model

  • Linear Regression: A Simple Model Intro
  • A Simple Model

Exploratory Data Analysis

  • Exploratory Data Analysis Intro
  • Hands-on Exploratory Data Analysis

Linear Regression - A Real Model

  • Linear Regression – Real Model Section Intro
  • Linear Regression in R – Real Model

Logistic Regression

  • Introduction to Logistic Regression
  • Logistic Regression in R

Starting A Career in Data Science

  • Starting a Data Science Career Section Overview
  • Creating A Data Science Resume
  • Getting Started with Freelancing
  • Top Freelance Websites
  • Personal Branding
  • Networking Do’s and Don’ts
  • Setting Up a Website

Certification

By the successful completion of your course, you will get an instant e-certificate. Our courses are fully updated with industry knowledge and skills that aim at making you an expert in the field. The hard copy of the certificate is also available and can be sent to your address. The delivery charge is applicable which will be £4.99. All the certificates have no expiry dates but to stay updated and valued certificates are recommended to be renewed every year.

Who is this course for?

  • Students who want to learn about Data Science and Machine Learning

Requirements

  • Basic computer skills

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FAQs

What does study method mean?

Study method describes the format in which the course will be delivered. At reed.co.uk courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

What are CPD hours/points?

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on reed.co.uk, many of which can be completed online.

What is a ‘regulated qualification’?

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

What is an ‘endorsed’ course?

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body’s logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.